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The fuzzy estimation unit of foot-print abnormality recognition

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents main features of computer unit that supports the conclusion making system. The system helps the medical staff in putting diagnosis concerning a foot abnormality recognition and classification. For the data record registration the PSW (Parotec System of Windows) has been used [1]. The described unit allows collecting medical experts' knowledge given in fuzzy measures. The classified mechanisms of the patient's walk features have been implemented in diagnostics tool of orthopaedic and neurological diseases. Finally the rehabilitation processes can be organised under control of the expert unit.
Rocznik
Strony
MI183--MI188
Opis fizyczny
Bibliogr. 10 poz., rys.
Twórcy
autor
  • University of Silesia, Institute of Informatics, ul. Będzińska 60, 41-200 Sosnowiec, Poland
autor
  • University of Silesia, Institute of Informatics, ul. Będzińska 60, 41-200 Sosnowiec, Poland
Bibliografia
  • [1] PIECHA J., ZYGUŁA J.: PC Visual interface for Orthopaedic Expertise, Proc. of 8-th SCM Int. Conference, Zakopane May 1995, pp. 162-167.
  • [2] ZBROJKIEWICZ J., PIECHA J., JARZĄBEK-STĘPNIAK A. THE GAIT PATTERN DETECTION IN PSW RECORDS OF THE ACUTE SCIATIC NEURALGIA. PROC OF KOSYR'01, WROCŁAW 2001; pp. 29-36; ISBN 83-911675-2-6
  • [3] W. WEIS SHOLOSM, C.G. Kulikowski: A practical guide to designing expert systems. Chapman and Hall Computing, London 1983.
  • [4] PIECHA J. The neural network conclusion-making system for foot abnormality recognition. Proceedings of IMACS World Congress, Lausanne, Switzerland, August 2000, IMACS ISBN
  • [5] R.W. SOAMES, P.G. CARTER, J. A. TOWLE: The rheumatoid foot during gait. Journal Biomechanical Measurement in Orthopaedic Practice., New York: Oxford University Press, 1985, pp. 167-178.
  • [6] H. ARITOMI, M. MORITA, K. YONEMOTO. A simple method of measuring the foot sole pressure of normal subjects using prescale pressure-detection sheets. J. Biomech. 16, 1983, pp 157-165.
  • [7] C. FRANKS, R. BETS, T. DUCKWORTH, A microprocessor based image processing system for dynamic foot pressure studies, Journal Med. Biol. Eng. Computing, New York, 1983. No 21, pp. 566-572.
  • [8] PIECHA J. The neural network selection for a medical diagnostic system using an artificial data set. Journal of Computing Information Technologies, Vol. Zagreb 2001
  • [9] PIECHA J., KOPICERA K. The conclusion making method using pathology classifiers. Proc. of KOSYP:01, WROCLAW 2001; pp. 37-42; ISBN 83-911675-2-6
  • [10] KOPICERA K., PIECHA J., ZYGUŁA J.: The neural network characteristics selection for orthopaedics diagnoss. Proc. of Int. Conference, ASIS'99, Krnov Sept. 1999.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-21b4c965-9179-44ad-aca2-0bbb75a14682
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